data engineer

data scientist

ai engineer

machine learning engineer

senior data scientist

marketing data engineer

LexisNexis Risk Solutions

<div>Are you passionate about building trusted customer data foundations that power meaningful marketing decisions?
Would you like to shape scalable data pipelines and models that improve customer journeys, analytics, and business outcomes?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication &amp; Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, LexisNexis Risk Solutions | Transform Your Risk Decision Making
About our Team
This role acts as the technical backbone for the Marketing Hub &mdash; partnering closely with analytics, MarTech, and digital teams to deliver the pipelines, data models, and governance frameworks that support personalisation, measurement, experimentation, and strategic decision‑making. The Data Engineer ensures data is not only accurate and compliant but designed for high performance and long‑term growth.
About the Role
The Data Engineer plays a foundational role in enabling modern, insight‑driven marketing by building and maintaining the data infrastructure that powers the organisation&rsquo;s customer intelligence ecosystem. Working across the Customer Data Platform , journey orchestration capability , and advanced analytics and dashboarding environment , the role ensures that marketing has access to trusted, well‑structured, and scalable data.
Responsibilities
<ul><li>Data Architecture &amp; Pipeline Engineering: Build and maintain reliable pipelines integrating customer, campaign, and operational data into the CDP, ensuring accuracy and readiness for analysis
</li><li>Marketing Data Model Design: Develop scalable models supporting segmentation, lifecycle analytics, attribution, and KPI frameworks
</li><li>CDP Enablement &amp; Identity Management: Partner with MarTech and Analytics to improve identity resolution, consent logic, and data quality within the CDP
</li><li>Journey Orchestration Data Readiness: Enable event streams, triggers, and monitoring to support accurate, timely customer journeys
</li><li>Analytics &amp; Dashboarding Enablement: Provide structured datasets and semantic layers for reporting and dashboards, aligned with KPI frameworks
</li><li>Data Governance &amp; Quality Assurance: Maintain data quality, lineage, and compliance with GDPR and PII standards
</li><li>Collaboration &amp; Strategic Influence: Work closely with the Senior Marketing Analyst to align on priorities, translating technical concepts into business insights
</li><li>Operational Excellence &amp; Standards: Ensure scalable, stable data operations using best practices in automation, observability, and continuous improvement
</li></ul>Requirements
<ul><li>Advanced SQL, ETL/ELT frameworks, and cloud data platforms such as Azure, AWS, or GCP
</li><li>Data modelling and pipeline orchestration using tools such as Airflow, Data Factory, dbt, or similar
</li><li>Integrate CDP data sources across digital, CRM, transactional, and behavioural data; support identity resolution, consent handling, audience activation, journey events, trigger logic, and behavioural signals
</li><li>Build data marts and semantic layers for dashboarding and BI tools such as Power BI or Tableau; structure datasets optimised for KPI frameworks, attribution, funnel, and lifecycle analytics
</li><li>Apply data quality frameworks, lineage, cataloguing, and GDPR/PII compliance practices
</li><li>Design secure data pipelines with monitoring, alerting, and SLA/SLO management
</li><li>Translate business and marketing needs into clear technical specifications, communicating technical topics clearly to non-technical stakeholders
</li><li>Partner with analytics, marketing ops, and MarTech teams to own scalable, reliable, trusted customer-data solutions
</li></ul>Risk benefit statement
Learn more about the LexisNexis Risk team and how we work
 
https://relx.wd3.myworkdayjobs.com/RiskSolutions/page/21c296c982531000b79663f3194b0000 

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Data Engineer

Zoopla

<div>Who We Are
Zoopla is a leading UK property website and trusted consumer brand, empowering movers to make better property decisions with over nine million monthly users generating over one billion annual property searches.
Zoopla is more than a property portal. Over 5 million homeowners are subscribers, tracking their property values and providing a pipeline of movers for Zoopla&rsquo;s customers (estate agents and housebuilders). The business is investing in leveraging its scale and reach to build new, AI-driven experiences that engage movers and unlock value and a strong return on investment for customers.
Our guiding behaviours define how we work together and what we expect from one another. These behaviours are to keep it simple, take ownership, make it better and win together. We strive for progress not perfection and have no doubt that we can achieve our ambitions if we focus on the right things, give it our all and do it together.
What You&rsquo;ll Do
Our Data &amp; Analytics Team powers data-driven decision-making across Zoopla. As a core member of this technical squad, you will implement, maintain, and optimise the tracking solutions that allow our Product, Engineering, and Marketing teams to self-serve. You are a hands-on problem solver and the trusted voice of authority for how data should be captured and routed across the business. 
 
Key Responsibilities<ul><li>
Tracking authority for product squads: Act as the subject matter expert for PMs and Developers. Instead of writing every spec for them, you will guide squads on how to design effective tracking, review &amp; approve their specs, and enforce the Zoopla Standard before taking on the implementation.</li><li>
Implement &amp; maintain tracking: Own the technical configuration in GTM and Amplitude. You will build out complex tracking setups, ensure events fire efficiently, and proactively monitor data quality across all platforms to keep our analytics reliable.</li><li>
Marketing &amp; AdTech integration: Act as the technical gatekeeper for marketing pixels and tags (e.g., Google Ads, Meta, Iterable). You will partner with Growth and Marketing teams to deploy tracking securely, ensuring implementations are optimized for site performance and routed cleanly via GTM or server-side solutions where possible.</li><li>
Configure data pipelines: Manage our CDP (Rudderstack). You will be responsible for configuring new destinations, mapping data correctly, and ensuring robust data flow from our apps and website to downstream tools.</li><li>
Experimentation SME &amp; troubleshooting: Serve as the technical escalation point for Amplitude Experiment. While squads will run and QA their own A/B tests, you will maintain the core framework (feature flags, assignment logic) and step in to troubleshoot complex setups or debug tricky exposure tracking issues.</li><li>
Cross-platform engineering partner: Work directly with App and Web engineers to deploy and debug third-party SDKs. You will act as the technical guide to resolve issues related to identity resolution, latency, or versioning across ecosystems.</li><li>
Privacy by design: Take charge of our Consent Management Platform (Usercentrics). You will ensure all new implementations - whether for product analytics or marketing pixels - are inherently GDPR-compliant, mapping tags accurately to consent categories and acting as the gatekeeper for privacy-safe tracking.</li></ul> 
Requirements<ul><li>
Technical proficiency: Strong skills in JavaScript. You have a solid, practical understanding of the DOM, browser APIs, data layer logic, and client-side data flows.</li><li>
Delivery track record: Proven experience hands-on implementing and managing product analytics tools (e.g. Amplitude, Mixpanel, or PostHog) and tag managers (GTM). You understand the event-driven mindset inside and out.</li><li>
CDP experience: Practical experience working with CDPs to route data effectively.</li><li>
Consultative execution: You own things end to end. You can look at a business or marketing objective, advise the team on the best tracking approach, and independently see the technical implementation through to deployment.</li><li>
Clear communicator: You are comfortable pushing back when standards aren't met and can translate complex technical tracking concepts into plain English to guide non-technical colleagues across Product, Marketing and Engineering.</li><li>
Engineering workflows: Comfortable with version control (Git/GitHub/GitLab) and participating in a collaborative codebase.</li><li>
Data verification: Ability to write SQL queries to verify data in a warehouse.</li><li>
Mobile experience: Hands-on understanding of how tracking and SDKs are implemented across Native React Apps.</li><li>
AI-ready: Comfortable using AI tools to speed up day-to-day coding and QA tasks.</li></ul> 
Our Stack<ul><li>
Orchestration: GTM, Rudderstack</li><li>
Analytics: Amplitude (Analytics + Experiment), GA4.</li><li>
Marketing &amp; Ops: Google Ads, Meta, Iterable, Usercentrics, Usabilla, Permutive.</li></ul>
Where You&rsquo;ll Be
At Zoopla we embrace hybrid working but emphasise the importance of also spending time together. You&rsquo;ll have the opportunity to work remotely (at home) for two days per week with Mondays and Thursdays as all-Zoopla days in the office together plus a third in-office day of your choosing.
Our home in Tower Bridge is a wonderful hub for collaborative and individual working, with space to socialise and exercise. On our doorstep you&rsquo;ll find buzzing Borough, Bankside and Bermondsey, not to mention soaring river views. 
Benefits 
<ul><li>
Our hybrid setup means you&rsquo;ll join us in the Tower Bridge office 3 days each week</li><li>
25 days annual leave + additional leave benefits Including extra days for length of service, plus other leave perks</li><li>
Cycle to work and electric car schemes</li><li>
Free Calm App membership</li><li>
Enhanced Parental leave</li><li>
Fertility Treatment Financial Support</li><li>
Group Income Protection and private medical insurance</li><li>
Gym on-site in London</li><li>
7.5% pension contribution by the company</li><li>
Discretionary annual bonus up to 10% of base salary</li></ul></div>

Analytics Implementation Engineer

RELX Group

<div>Are you motivated to build scalable data solutions that directly shape customer engagement and marketing performance?
Do you enjoy collaborating across teams to turn complex data into actionable insights and real-time decision making?
<h3 class="jobSectionHeader">About the Business
</h3>LexisNexis&reg; Risk Solutions provides customers with solutions and decision tools that combine public and industry-specific content with advanced technology and analytics to assist in evaluating and predicting risk and enhancing operational efficiency.
We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier, and processes more efficient.
About Our Team
The MarTech &ndash; Marketing Automation team is a dynamic group managing several SaaS-based solutions within the Marketing Technology stack for LNRS Data Services.
About the Role
This role focuses on building and optimising data infrastructure that enables advanced marketing and customer data capabilities. You will create scalable pipelines, data models, and governance practices that support analytics, segmentation, and real-time engagement. Working closely with cross-functional teams, you will help deliver reliable, high-quality data solutions that drive business outcomes.
Responsibilities
<ul><li>Build and maintain scalable data pipelines integrating customer, campaign, and operational data into the CDP and marketing data layer
</li><li>Design and manage data models to support segmentation, lifecycle analytics, attribution, and KPI measurement
</li><li>Ensure data quality, consistency, deduplication, and optimisation for analytics and reporting use cases
</li><li>Enable CDP functionality including identity resolution, consent management, and audience readiness
</li><li>Develop event streams and triggers to support customer journey orchestration and real-time decisioning
</li><li>Provide structured datasets and semantic layers for dashboards and advanced analytics
</li><li>Implement data governance practices, including lineage, cataloguing, validation, and GDPR/PII compliance
</li><li>Partner with analytics, MarTech, and marketing teams to align data solutions with business needs
</li></ul>Requirements
<ul><li>Strong SQL skills and experience with ETL/ELT and pipeline orchestration tools (e.g., Airflow, dbt, Data Factory)
</li><li>Experience with cloud data platforms (e.g., Azure, AWS, or GCP)
</li><li>Proficiency in data modelling (dimensional, entity-relationship, event-driven)
</li><li>Understanding of marketing data ecosystems, including CDPs, CRM, and behavioural data
</li><li>Experience supporting analytics and BI tools (e.g., Power BI, Tableau) from a data engineering perspective
</li><li>Knowledge of data governance, quality frameworks, and secure data handling (including GDPR/PII)
</li><li>Ability to translate business requirements into scalable technical solutions
</li><li>Strong collaboration and communication skills with technical and non-technical stakeholders
</li></ul>You can learn more about LexisNexis Risk Solutions here:
 
LexisNexis Risk Solutions 
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here .
Please read our Candidate Privacy Policy .
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights .</div>

Senior Data Scientist II

Worldpay

<div>Ready to take your career global?
Make your mark at one of the biggest names in payments. We&rsquo;re looking for a Senior Data Scientist/Engineer &ndash; Commercial Optimisation to join our ever evolving Global SMB team and help shape the future of global commerce.
What you&rsquo;ll own<ul><li>
Utilize advanced data analytics and machine learning techniques to identify high-value prospects and generate leads in the payments industry.</li><li>
5 + years experience working as a Data Scientist and Data Engineer.</li><li>
Design and implement propensity models to predict potential client engagement and conversion rates, optimizing our prospecting strategies.</li><li>
Analyse transactional and financial data to uncover trends and insights that inform targeted marketing and sales strategies.</li><li>
Identify and evaluate new data sources (internal and external) to support and drive improvements in predictive models</li><li>
Work closely with the marketing and sales teams to refine lead qualification processes, enhance lead scoring models, and streamline lead generation efforts.</li><li>
Develop and maintain Python/SQL-based automated workflows for efficient data preparation, modelling and execution of marketing/prospecting strategies.</li><li>
Present data-driven insights and recommendations to stakeholders to drive strategic decisions and new business initiatives.</li><li>
Continuously monitor the effectiveness of lead generation strategies and adjust models and approaches based on performance data and market feedback.</li></ul>
What you'll bring<ul><li>
Proven experience in data science with a focus on targeted marketing, lead generation and new business development</li><li>
Expert in Python and SQL and experience with data preparation, cleaning, and modelling</li><li>
Expertise in building and deploying machine learning models, especially related to customer behaviour, segmentation, and propensity analysis.</li><li>
Excellent analytical and problem-solving abilities, with a track record of translating data insights into successful business outcomes.</li><li>
Entrepreneurial mindset with the ability to operate in a fast-paced environment and contribute to multiple projects with varying deadlines.</li><li>
Bachelor&rsquo;s or master&rsquo;s degree in Statistics, Mathematics, Computer Science, Finance, or a related field.</li></ul>
About the team
As a forward-thinking finance company based in London, we specialize in innovative payment solutions aimed at streamlining and enhancing the payment processes for businesses and consumers. Our mission is to revolutionize the payments industry by leveraging cutting-edge technology and data-driven insights to foster financial inclusion and efficiency. Join our dynamic team and play a crucial role in driving new business generation and shaping the future of payments.
We are in search of a Senior Data Scientist/Engineer with a strong background in finance and a knack for new business generation. This role is pivotal for our lead generation and prospecting efforts, using advanced analytics and machine learning to identify and engage potential clients in the payments sector. The ideal candidate will possess a unique blend of technical data skills, business acumen, and an entrepreneurial spirit to drive growth and expand our market presence.
What makes a Globalpayer?
Globalpayers think like a client, act like an owner and win as one team. We&rsquo;re curious and innovative &ndash; always finding better ways to deliver impact. We empower each other to make decisions, and it&rsquo;s our passion that drives excellence in everything we set out to do.
Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.
To find out more about working with us, find us on LinkedIn.
#LI-AB1</div>

Senior Data Scientist/Engineer - Commercial Optimisation

Understanding Recruitment

<div>
 
 
 Senior Data Engineer - Payments
 
 
 
 
 
 
 A fast-growing fintech business transforming how companies move money internationally through a modern payments platform are looking for a Senior Data Engineer to join their team.
 
 
 
 
 
 
 What Will I Be Doing:
 
 
 
 
 
 <ul>
 <li>
 Design, build, and optimise scalable ETL/ELT pipelines within a modern Databricks environment.
 </li>
 <li>
 Develop and maintain workflow orchestration, monitoring, alerting, and data quality controls.
 </li>
 <li>
 Integrate external platforms and APIs into the wider data ecosystem.
 </li>
 <li>
 Collaborate with Data, Engineering, Finance, Marketing, and BI teams to deliver commercially impactful data products.
 </li>
 <li>
 Contribute to AI initiatives, platform architecture, and the ongoing evolution of the company's data strategy.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For:
 
 
 
 
 
 <ul>
 <li>
 Strong commercial experience in Data Engineering, with hands-on expertise in Databricks and Azure.
 </li>
 <li>
 Advanced skills in Python, PySpark, and SQL, with experience building scalable data platforms.
 </li>
 <li>
 Knowledge of CI/CD practices and tools such as GitHub, Terraform, and deployment automation platforms.
 </li>
 <li>
 Experience implementing data governance, monitoring, and quality frameworks.
 </li>
 <li>
 A proactive, collaborative mindset with the ability to thrive in a fast-paced, high-growth environment. FinTech or Payments experience is a plus.
 </li>
 </ul>
 
 
 
 
 
 What's In It For Me?
 
 
 
 
 
 <ul>
 <li>
 Work with a modern, AI-first technology stack on projects with direct commercial impact.
 </li>
 <li>
 Clear progression opportunities into technical leadership and platform ownership.
 </li>
 <li>
 Competitive package including bonus, enhanced pension, private healthcare, and 25 days annual leave plus bank holidays.
 </li>
 </ul>
 
 
 
 
 Apply now for immediate consideration!
 
</div>

Senior Data Engineer

<div><div><h4 class="jobSectionHeader">Who We Are</h4>

WPP Enterprise Solutions designs, builds, and operates the growth systems that competitive businesses rely on. In a world where Al is reshaping how companies drive growth, we lead clients in business transformation and marketing modernization, connecting strategy directly to execution. Our 12,000 experts in engineering and platforms, commerce, consulting, content transformation, CRM, and CX work within a unified global operating unit across 40+ markets. WPP Enterprise Solutions works alongside best-in-class partners including Adobe, AWS, Braze, Google, Microsoft, Salesforce, and Shopify, as well as innovators in AI, to deliver growth solutions tailored to the needs of our clients' businesses.</div> 


Are you a Senior Data Engineer with a passion to build, support &amp; maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we're looking for!
<h2 class="jobSectionHeader">
What will your day look like?</h2>

As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:
<ul>
<li>Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.</li>
<li>Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.</li>
<li>Build monitoring procedures &amp; tools to ensure solid ETL flows and data quality.</li>
<li>Design processes and tools to correct ETL incidents.</li>
<li>Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.</li>
<li>Consult our data analytics teams to ensure best practices on the technical use of data are followed.</li>
<li>Design data architectures and collaborate in data migrations in cloud environments.</li>
</ul><h2 class="jobSectionHeader">Who are you going to work with?</h2>

You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.
<h2 class="jobSectionHeader">
What do you bring to the table?</h2>

As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly &ndash; also to non-experts &ndash; while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.

At the same time, you solve problems in an analytical and pragmatic manner.

Moreover, you have:
<ul>
<li>Experience in data engineering, big data, business intelligence, or data science.</li>
<li>Experience in Spark, Python, Scala, or similar.</li>
<li>Excellent SQL skills enabling large-scale data transformation and analysis.</li>
<li>A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.</li>
<li>Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)</li>
<li>Programming experience in Javascript, Python, or similar.</li>
<li>Expertise in managing databases, including performance tuning, backup, and recovery.</li>
<li>Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation</li>
<li>Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.</li>
<li>Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.</li>
<li>Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security</li>
<li>Knowledge of Kubernetes would be an advantage</li>
</ul>
Personal skills:
<ul>
<li>Strong desire to contribute towards keeping data tidy and well-organized</li>
<li>Ability to think critically, identify issues autonomously, and propose corrective actions.</li>
<li>Build great relationships with your team and stakeholders</li>
</ul><h2 class="jobSectionHeader">A leader in personalized customer experiences</h2>

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.
<h2 class="jobSectionHeader">
A global network</h2>

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences.

#LI-EMEA<div> 
About WPP

WPP is the trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company &ndash; powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.

WPP (MAP/VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

When you click &quot;Apply now&quot; below, your information is sent to MAP/VML. To learn more about how we process your personal data during when you apply for a role with us, on how you can update your information or have the information removed please read our Privacy policy. California residents should read our California Recruitment Privacy Notice.</div></div>

Explore 1058+ Marketing data engineer in London this July. Find roles across top companies and apply now to boost your career.

1058 marketing data engineer jobs In London

Data Engineer

Analytics Implementation Engineer

Senior Data Scientist II

Senior Data Scientist II

Senior Data Scientist/Engineer - Commercial Optimisation

Senior Data Engineer

Senior Data Engineer